America, since the conclusion of World War II, has dominated the R&D pipeline. Past research from our team at the Center for ...

This figure illustrates three key applications of AI in antimicrobial drug development: (1) target identification and validation, including novel target discovery, affinity prediction, multi-target ...

Clinical trials for drug development are notoriously slow and expensive, and only a small fraction of drug candidates end up being approved by the regulatory authorities. The extensive bottlenecks in ...

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...

Regina Barzilay is a School of Engineering Distinguished Professor of AI & Health in the department of computer science and the AI faculty lead at MIT Jameel Clinic. She develops machine learning ...

About one-third of all drugs approved by the Food and Drug Administration target the largest family of cell membrane receptors called G protein-coupled receptors (GPCRs). GPCRs are indispensable for ...

Artificial intelligence and machine learning are being embedded in every aspect of the drug discovery and development process. In the preclinical stages, for example, companies are using advanced AI ...

Discover what the next wave of AI-assisted drug discovery looks like and how it can help biotech - the AI and physics combo.

In a quest to develop new antiviral drugs for COVID-19 and other diseases, a collaboration led by scientists at The Wertheim UF Scripps Institute has identified a potential new drug against the virus ...

A research team at McMaster University has discovered a new drug class that could someday lead to breakthrough treatments for dangerous fungal infections. The new molecules, dubbed coniotins, were ...